ionelmc

Reproduce bug run:

pypy pypy-bug.py

then:

cat output

You will see something like:

ionelmc

 #!/bin/bash -eE
-pip bundle -r requirements.txt --timeout=60 --download-cache=.pip-cache --use-mirrors deps.zip
+(
+    tempdir=$(mktemp -d /tmp/wheelhouse-XXXXX)
+    trap 'rm -rf "$tempdir"' EXIT QUIT
+    pip wheel -r requirements.txt --timeout=60 --download-cache=.pip-cache --use-mirrors --wheel-dir=$tempdir
+    cwd=`pwd`
+    (cd "$tempdir"; tar -cjvf "$cwd/deps.tar.bz2" *)
+)

ionelmc

"""
Converts a dict containing a mongo query to a lambda. Doesn't support all the mongo
query $keywords, probably differs the result in subtle ways.

It only supports querying flat structures: dicts with no lists or other dicts in 
them (aka subdocuments).
"""
from __future__ import print_function
import sys
import tempfile

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#include <stdlib.h>
#include <stdio.h>
#include <unistd.h>
#include <signal.h>
#include <pthread.h>
#include <sys/signalfd.h>
#include <sys/time.h>
#include <sys/types.h>

#define handle_error(msg) \

ionelmc

__all__ = 'TimeMeasurement', 'CummulativeTimeMeasurement', 'MeasurementContext'

from datetime import datetime
from itertools import chain

class MeasurementBase(object):
    def __init__(self):
        self.stack = []

    def __call__(self, event_name):

ionelmc

from __future__ import print_function
from logging import getLogger
logger = getLogger(__name__)

import thread
import threading
import traceback
import socket
import struct
import sys

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import sys
import os
import imp

class OverlayImporter(object):
    def __init__(self, path):
        self.path = path

    def find_module(self, name, _path=None):
        names = name.split('.')

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import cProfile
import os
import pstats
import time
from datetime import datetime
from functools import wraps
from io import StringIO
from logging import getLogger

logger = getLogger(__name__)

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import sys
from celery import Celery
from celery.canvas import group
from kombu import Queue, Exchange

celery = Celery(
    broker="amqp://test:test@localhost:5672/test"
)
celery.conf.update(
    CELERY_RESULT_BACKEND = "mongodb",

ionelmc

>>> import itertools
>>> [
...     'queue_%s' % '_'.join(str(node) for node in combination)
...     for combination in itertools.chain(*[
...         itertools.combinations(range(4), i) for i in range(1, 5)
...     ])
... ]
['queue_0', 'queue_1', 'queue_2', 'queue_3', 'queue_0_1', 'queue_0_2', 'queue_0_3', 'queue_1_2', 'queue_1_3', 'queue_2_3', 'queue_0_1_2', 'queue_0_1_3', 'queue_0_2_3', 'queue_1_2_3', 'queue_0_1_2_3']